Top Papers: KI in der Medizin (2017)

Die 50 meistzitierten Arbeiten zu KI in der Medizin aus dem Jahr 2017 (von 756 insgesamt).

Die Forschung zu Künstlicher Intelligenz in der Medizin wächst rasant und verändert die Art, wie Krankheiten diagnostiziert und behandelt werden. Von der automatisierten Befundung über klinische Entscheidungsunterstützung bis hin zur personalisierten Therapie – KI-Systeme zeigen vielversprechende Ergebnisse in zahlreichen medizinischen Fachbereichen. Diese Seite fasst die aktuellsten und meistzitierten Forschungsarbeiten zusammen und zeigt, welche Institutionen und Forscher das Feld prägen.

2015 2016 2017 2018

#	Paper	Zitationen
1	Artificial intelligence in healthcare: past, present and future Fei Jiang, Yong Jiang, Hui Zhi et al. Stroke and Vascular Neurology	4.449
2	Artificial intelligence in medicine Pavel Hamet, Johanne Tremblay Metabolism	2.214
3	European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” Bryce Goodman, Seth Flaxman AI Magazine	2.004
4	Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2017) Giovanni Amendola, Francesco Ricca, Mirosław Truszczyński International Joint Conference on Artificial Intelligence	1.162
5	Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations Jonathan H. Chen, Steven M. Asch New England Journal of Medicine	1.125
6	Artificial Intelligence in Precision Cardiovascular Medicine Chayakrit Krittanawong, HongJu Zhang, Zhen Wang et al. Journal of the American College of Cardiology	1.051
7	Artificial Intelligence in Medical Practice: The Question to the Answer? D. Douglas Miller, Eric W. Brown The American Journal of Medicine	765
8	Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology Elaine Johanna Limkin, Roger Sun, Laurent Dercle et al. Annals of Oncology	764
9	Artificial Intelligence and the ‘Good Society’: the US, EU, and UK approach Corinne Cath, Sandra Wachter, Brent Mittelstadt et al. Science and Engineering Ethics	662
10	Medical robotics—Regulatory, ethical, and legal considerations for increasing levels of autonomy Guang‐Zhong Yang, James Cambias, Kevin Cleary et al. Science Robotics	656
11	What do we need to build explainable AI systems for the medical domain? Andreas Holzinger, Chris Biemann, Constantinos S. Pattichis et al. arXiv (Cornell University)	634
12	Medical big data: promise and challenges Choong Ho Lee, Hyung‐Jin Yoon Kidney Research and Clinical Practice	590
13	Surgical data science for next-generation interventions Lena Maier‐Hein, S. Swaroop Vedula, Stefanie Speidel et al. Nature Biomedical Engineering	508
14	Slave to the Algorithm? Why a 'right to an explanation' is probably not the remedy you are looking for Lilian Edwards, Michael Veale —	508
15	Artificial intelligence in fracture detection: transfer learning from deep convolutional neural networks Dong Hee Kim, T. MacKinnon Clinical Radiology	478
16	Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare Polina Mamoshina, Lucy O. Ojomoko, Yury Yanovich et al. Oncotarget	465
17	Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review Joeky T. Senders, Patrick Staples, Aditya V. Karhade et al. World Neurosurgery	454
18	Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs David B. Larson, Matthew C. Chen, Matthew P. Lungren et al. Radiology	453
19	Artificial intelligence for analyzing orthopedic trauma radiographs Jakub Olczak, Niklas Fahlberg, Atsuto Maki et al. Acta Orthopaedica	452
20	What This Computer Needs Is a Physician Abraham Verghese, Nigam H. Shah, Robert A. Harrington JAMA	446
21	Transparent, explainable, and accountable AI for robotics Sandra Wachter, Brent Mittelstadt, Luciano Floridi Science Robotics	395
22	Blockchain technology for improving clinical research quality Mehdi Benchoufi, Philippe Ravaud Trials	377
23	An artificial intelligence platform for the multihospital collaborative management of congenital cataracts Erping Long, Haotian Lin, Zhenzhen Liu et al. Nature Biomedical Engineering	352
24	The role of artificial intelligence in precision medicine Bertalan Meskó Expert Review of Precision Medicine and Drug Development	328
25	Ethical practice in Telehealth and Telemedicine Danielle Hahn Chaet, Ron Clearfield, James E. Sabin et al. Journal of General Internal Medicine	324
26	Implementing Machine Learning in Radiology Practice and Research Marc Kohli, Luciano M. Prevedello, Ross W. Filice et al. American Journal of Roentgenology	304
27	Three-dimensional printed models for surgical planning of complex congenital heart defects: an international multicentre study Israel Valverde, Gorka Gómez, Tarique Hussain et al. European Journal of Cardio-Thoracic Surgery	272
28	The need to approximate the use-case in clinical machine learning Sohrab Saeb, Luca Lonini, Arun Jayaraman et al. GigaScience	270
29	Natural and Artificial Intelligence in Neurosurgery: A Systematic Review Joeky T. Senders, Omar Arnaout, Aditya V. Karhade et al. Neurosurgery	255
30	MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs Pranav Rajpurkar, Jeremy Irvin, Aarti Bagul et al. arXiv (Cornell University)	248
31	Automated Critical Test Findings Identification and Online Notification System Using Artificial Intelligence in Imaging Luciano M. Prevedello, Barbaros S. Erdal, John Ryu et al. Radiology	245
32	Structured Reporting in Radiology Dhakshinamoorthy Ganeshan, Phuong-Anh T. Duong, Linda Probyn et al. Academic Radiology	231
33	On the Design of a Blockchain Platform for Clinical Trial and Precision Medicine Zon‐Yin Shae, Jeffrey J. P. Tsai —	228
34	Data fabrication and other reasons for non‐random sampling in 5087 randomised, controlled trials in anaesthetic and general medical journals J. B. Carlisle Anaesthesia	225
35	Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17) Fausto Giunchiglia, Khuyagbaatar Batsuren, Gábor Bella International Joint Conference on Artificial Intelligence	225
36	Deep Learning to Classify Radiology Free-Text Reports Matthew C. Chen, Robyn L. Ball, Lingyao Yang et al. Radiology	223
37	International Joint Conference on Artificial Intelligence (IJCAI 2017) Vaishak Belle —	219
38	A Critical Review for Developing Accurate and Dynamic Predictive Models Using Machine Learning Methods in Medicine and Health Care Hamdan O. Alanazi, Abdul Hanan Abdullah, Kashif Naseer Qureshi Journal of Medical Systems	218
39	Frequency of data extraction errors and methods to increase data extraction quality: a methodological review Tim Mathes, Pauline Klaßen, Dawid Pieper BMC Medical Research Methodology	211
40	Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences Tim Miller, Piers D. L. Howe, Liz Sonenberg arXiv (Cornell University)	210
41	The rise of artificial intelligence and the uncertain future for physicians Chayakrit Krittanawong European Journal of Internal Medicine	207
42	Medical Image Data and Datasets in the Era of Machine Learning—Whitepaper from the 2016 C-MIMI Meeting Dataset Session Marc Kohli, Ronald M. Summers, J. Raymond Geis Journal of Digital Imaging	196
43	The rise (and fall?) of HR analytics Sjoerd van den Heuvel, Tanya Bondarouk Journal of Organizational Effectiveness People and Performance	189
44	When Machines Think: Radiology’s Next Frontier Keith J. Dreyer, J. Raymond Geis Radiology	179
45	Post retraction citations in context: a case study Judit Bar‐Ilan, Gali Halevi Scientometrics	177
46	An introduction and overview of machine learning in neurosurgical care Joeky T. Senders, Mark M. Zaki, Aditya V. Karhade et al. Acta Neurochirurgica	177
47	Artificial Intelligence: Threat or Boon to Radiologists? Michael P. Recht, R. Nick Bryan Journal of the American College of Radiology	165
48	Where is the evidence? Rebecca Ferguson, Doug Clow —	155
49	FOSTERING INTEGRITY IN RESEARCH Thomas Arrison, Robert M. Nerem Special publications	138
50	Reasons for Plagiarism in Higher Education Polona Šprajc, Marko Urh, Janja Jerebic et al. Organizacija	136

Top Papers: KI in der Medizin (2017)

Verwandte Seiten